Data science assignment | Computer Science homework help
- Exploration with Boston.csv data
a) How many rows and columns in the data set? What do the rows and columns represent? (b) Make pairwise scatterplots of the predictors (columns) in this data set. Describe findings. (c) Are any of the predictors associated with per capita crime rate? If so, explain relationship. (d) Do any of the suburbs of Boston appear to have particularly high crime rates? Tax rates? Pupil-teacher ratios? Comment on the range of each predictor. (e) How many of the suburbs in this data set bound the Charles river? (f) What is the median pupil-teacher ratio among the towns in this data set? (g) Which suburb of Boston has lowest median value of owner occupied homes? What are the values of the other predictors for that suburb, and how do those values compare to the overall ranges for those predictors? Comment on your findings. (h) In this data set, how many of the suburbs average more than seven rooms per dwelling? More than eight rooms per dwelling? Comment on the suburbs that average more than eight rooms per dwelling. Hint – several github sites have the complete solution in python e.g. https://github.com/mscaudill/IntroStatLearn
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